It is a versatile workflow automation platform designed to create, organize, and execute AI workflows, ranging from simple interactions with a single large language model (LLM) to complex, multi-step AI-driven workflows.
It is a versatile workflow automation platform designed to create, organize, and execute AI workflows, ranging from simple interactions with a single large language model (LLM) to complex, multi-step AI-driven workflows. The platform provides an intuitive and feature-rich interface, enabling users to design, manage, and interact with workflows in real-time. It supports branching chats, allowing for flexible and iterative refinement of workflows, and offers generative and customizable UI elements for creating custom pages and hierarchical configurations.
Agent Pilot facilitates the creation of agents, which can be organized into folders and configured to perform specific tasks. Multi-member workflows can be saved as single agents and nested infinitely, providing flexibility in designing complex processes. Users can view, continue, or delete previous workflow chats and organize them into folders. The platform also allows editing and re-running messages, tools, and code, enhancing practical workflow interactions.
The system supports scheduled and recurring workflows, which can be triggered using natural language expressions of time, enabling automation at various intervals. Workflows can include parallel execution of tasks, and users can seamlessly add members or blocks to configure interactions. Blocks, which can be simple text or complex workflows, are reusable and can be integrated into any workflow or text field using curly braces (e.g., {block-name}).
Tools in Agent Pilot share functionality with blocks but are primarily code-based, allowing agents to execute code or entire workflows. Parameters for tools and workflows can be modified at runtime, creating branch points for iterative refinement. The platform also supports Python modules for tasks like toolkits, daemons, memory management, and custom pages, with a flexible framework for building hierarchical configuration interfaces.
Agent Pilot integrates Open Interpreter for executing code in multiple programming languages and supports structured data outputs via Instructor. Users can create and import custom addons to extend functionality. Plugins for agents, workflows, and model providers are supported, and LiteLLM integration allows compatibility with various model providers. The platform also supports text-to-speech services, enabling voice interactions with agents.
Contributions to Agent Pilot are encouraged, and users can support the project by starring the repository or leaving a tip. The platform is designed for developers and users seeking a powerful, flexible, and customizable workflow automation solution.
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